Perception & spatial algorithms
Computer-vision integration and prototyping, point-cloud processing, 3D reconstruction and computational geometry for complex sensor data.
Industrial AI & spatial engineering
MIVAR helps industrial, robotics and infrastructure teams solve difficult 3D, perception and real-world integration problems.
01 / Engineering
Senior R&D and engineering for projects where data, geometry and real-world deployment constraints meet.
Computer-vision integration and prototyping, point-cloud processing, 3D reconstruction and computational geometry for complex sensor data.
Turn meshes, scans and CAD data into useful geometry, visualization and engineering workflows.
Build interactive 3D tools, simulations and spatial interfaces that help teams inspect, test and explain complex systems.
02 / Field engineering
Real environments expose problems that a lab dataset misses. MIVAR can support on-site data collection, customer-site pilots, integration and field testing, then carry those findings back into the software and data workflow.
Available for project-based work at customer sites internationally.
03 / AI data operations
For training and validation datasets, MIVAR delivers specialized data operations through Annotate AI: managed image, video, 3D and sensor-data annotation, guideline development and quality assurance. Ongoing model-output review and structured escalation to your domain experts can be integrated around your workflow.
Explore Annotate AI
Training data. Validation sets. Managed QA.
ANNOTATEAI.CO04 / Experience
MIVAR is led by Dr. Roman Vlasov, a software engineer with 20+ years of experience across real-time 3D, interactive systems and spatial computing, including engineering work at Meta.
Recent industrial R&D work has involved mesh and CAD tools, large point clouds, 3D reconstruction and computational geometry. That mix supports both rapid feasibility work and the detailed engineering needed to make it useful.
Start a conversation
Tell us about your dataset, 3D pipeline or field deployment challenge.